A repository containing the source code for the Data Analytics Assignment and Project (UE20CS312) at PES University

This ipython notebook is the Exploratory data analysis (EDA) of the India GDP Rate 1960 to 2021.

A project made as a part of the Linear Algebra course (UE20MA251) at PES University. The objective of the project was to demonstrate the applications of Linear Algebra

Welcome to the Image Generation Tool, leveraging the power of diffusion models to create high-quality, realistic images. Diffusion models have emerged as a groundbreaking approach in the field of generative models, often surpassing the performance of traditional Generative Adversarial Networks (GANs).

Deep Learning (семестр 1, осень 2022): продвинутый поток

We developed a plant disease diagnosis system that allows farmers to identify diseases by visualizing leaf images. The system recommends appropriate pesticides for effective treatment. Early detection and precision recommendations empower farmers to protect their crops efficiently and grow their production.

Produces AI generated images using transfer learning, these images will then be configured for number based painting.

Predict the salary of different domain of different country with years of working experience

Criteria for decision-making in games against nature under uncertainty in form of Jupyter Notebook. Supports Wald's, Savage, Hurwicz, Hodges–Lehmann, Laplace, Maximum Expected Utility, Minimum Expected Regret criteria.

This is a small webscrapper written to scrape the forum post detailing the top 50 board games from the BGG.com since the list first became avaialble.

Various websites are scraped for data relevant to the Mission to Mars using a web application and the data is shown in a single HTML web page.

SSA-Net for COVID-19 (This project is implemented from Article with nearly same topic)

Weather analysis, visualization & Data science

Bootcamp Data Analyst avec Python: Des bases de Python à l'analyse et visualisation de données pour l'extraction de connaissances et storytelling

In this folder I am experimenting with Linear Regression by doing many case studies on practice datasets.

Implemented a Sentiment Analysis project to analyze and determine the sentiment expressed in textual data. Utilized NLP and ML techniques to classify text as positive, negative, or neutral, showcasing expertise in text mining and sentiment classification.

ITIS Data Mining course assignments

Machine learning for fraud detection

sample data collection and visualization